Fabio Benedetti Email & Phone Number

Bologna, It

Bologna, Emilia-Romagna, Italy

As a Cloud Architect at Unipol Sai, part of the Beyond Insurance initiative, I drive the adoption of cloud technologies and machine learning algorithms across various companies within the Unipol Sai Group. My role emphasizes leveraging AWS to optimize operational efficiency and enhance technical capabilities by integrating AWS technologies and machine learning solutions.I successfully managed multiple high-impact projects, including:- Segregation of MAAS UnipolMove City App: Led the segregation of the backend infrastructure from a Finnish company, Maas Global, into an AWS account owned by UnipolTech. This modern serverless architecture spans multiple AWS accounts and comprises 120 repositories, including IaC, private libraries, and APIs.- Generative AI for IVR: Overseeing a project to implement a generative AI component for handling informational queries in the IVR system for Unipol Rental. This architecture employs a Retrieval-Augmented Generation (RAG) model, integrated with a custom-developed guardrail system by Unipol Sai.

Bologna, Emilia-Romagna, Italy

As the CTO at Cambiomarcia, I have been a driving force behind technological innovation and successful project delivery in the realm of AWS and cloud serverless architectures, and Kubernetes. My expertise lies in optimizing budgets, ensuring near-zero downtime, and aligning business objectives with technical excellence.- Responsible for actively participating in business decisions, providing technical expertise, and driving strategic initiatives.- Managed stakeholder relationships, facilitated effective communication, and aligned development goals with business objectives.- Oversaw a significant budget, optimizing resource allocation and maximizing return on investment.- Successfully developed four applications: Cambiomarcia, Tenutabene, Cambiobike, and Autostimo, serving a large user base with a monthly peak of 1 million users.- Built the development team from scratch, consisting of 15 internal resources, including Solution Architects, Backend Developers, Frontend Developers, Functional Analysts, and Data Scientists.- Managed a data science team, collaborating on the development of cutting-edge machine learning models, including a deep learning model for computer vision, and a recommendation system.- Ensured near-zero downtime for the applications, utilizing robust infrastructure design and deployment strategies utilizing AWS and serverless architectures.- Leveraged cutting-edge database technologies provided by AWS, such as RDS, DynamoDB, and ElastiCache, to support scalable and high-performance data storage and retrieval.- Successfully met project deadlines by effectively managing resources, setting priorities, and coordinating tasks.- Integrated CRM (HubSpot) and optimized applications for marketing purposes, utilizing SEO techniques and tracking mechanisms.

Bologna

In Virality, we applied data analysis and ML to a high volume of social media data to improve the field of Influencer Marketing. We built 2 PWA, the first one used by influencers, and the second one used by companies. The Influencers' app provides them advanced analytics with the aim of helping them to grow. The companies' one is composed of a search engine of influencers where each influencer is analyzed in deep (fake, interest, price, and audience detection) and a CRM for organizing influencer marketing campaigns. As CTO I'm in charge of several tasks:- design our resilient microservices infrastructure (ECS, Lambda, Cloud Formation, EC2)- define and implement data pipelines to ingest, process, and store data from different sources (SQS, Kinesis, Lamda Trigger, and Dynamo Streams)- data modeling and selection of right Databases according to the types of data access and processing workloads (Elasticsearch, Dynamodb, MongoDB, PostgreSQL, Memcache, S3)- collaborate with the Data Science team in the selection and deploy of ML algorithms (DeepLearning, Xgboost, NLP)- collaborate with the Data Science team in the selection, implementation and deploy of ML algorithms (DeepLearning, Xgboost, NLP)- product design and development (UI/UX design, product strategy, and roadmap definition, frontend development with React.js)- definition and implementation of CD/CI pipelines (Code Deploy, Code Pipeline)- organization and management of the development team (Agile Scrum)- AWS cost management and optimization

Bologna, Italia

My job comprehends design and development data centric prototypes for improving thebusiness processes inside our group. These prototypes involve scalable infrastructures,given the high volume of data, machine learning techniques, and the use of innovativeways of data visualization. Technologies and frameworks: Spark, Hadoop, HDFS, Scrum,Bash programming, Docker, MongoDB, MemSQL, ElasticSearch, RDBMS, Keras, Tensor-Flow, H2O, XGboost, Python, Java, Javascript

Modena, Italia

Database principles (Computer Engineering - Bachelor Degree)Advanced Database Technologies (Computer Engineering - Master Degree)

Modena, Italia

Modena, Italia

Dayton, Ohio, Stati Uniti

In Doxee i worked in the Quality Assurance department. My primary task was the development of reports, using the Open Source framework Pentaho for the visualization of the charts and the SQL language to elaborate the data collected from different Oracle Databases. During my collaboration I also solved some Data Integration problems using the platform Pentaho Data Integration as backend of the reporting system.

My internship was focused on the reengineering of an existing application called RTM, used by the cancer registry of the province of Modena. During this project I used Talend, an Open ETL software, to migrate the existing Database from Microsoft SQL Server to Postgres. After that, I develop the infrastructure of the new Web application using the J2EE stack. In particular, I used these libraries and tools: Maven, Hibernate, Spring and GWT.

Doctor Of Philosophy (Ph.D.), Linked Open Data & Big Data

Web Science

The School has been characterized by mixture of invited talks and tutorials on several aspects of data science, including data analytics.

Master'S Degree, Computer And Information Sciences, General, 107/110